CN114155713A - Intersection blind area early warning control method and system based on roadside crowd-sourcing calculation - Google Patents
Intersection blind area early warning control method and system based on roadside crowd-sourcing calculation Download PDFInfo
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- CN114155713A CN114155713A CN202111536699.XA CN202111536699A CN114155713A CN 114155713 A CN114155713 A CN 114155713A CN 202111536699 A CN202111536699 A CN 202111536699A CN 114155713 A CN114155713 A CN 114155713A
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- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000004364 calculation method Methods 0.000 title claims abstract description 9
- 238000012358 sourcing Methods 0.000 title claims description 29
- 241000283070 Equus zebra Species 0.000 claims description 19
- 230000010365 information processing Effects 0.000 claims description 16
- 230000003287 optical effect Effects 0.000 claims description 6
- 230000001133 acceleration Effects 0.000 claims description 3
- 206010039203 Road traffic accident Diseases 0.000 abstract description 5
- 238000004458 analytical method Methods 0.000 abstract description 2
- 230000005540 biological transmission Effects 0.000 abstract 1
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B5/00—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied
- G08B5/22—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electric transmission; using electromagnetic transmission
- G08B5/36—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electric transmission; using electromagnetic transmission using visible light sources
- G08B5/38—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electric transmission; using electromagnetic transmission using visible light sources using flashing light
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
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Abstract
The invention discloses a crossing blind area early warning control method and system based on roadside crowd intelligence calculation, which comprises data acquisition, information analysis, track prediction, an early warning module and road condition transmission, wherein motor vehicle information is acquired through a crowd intelligence calculation system, pedestrians and non-motor vehicles are displayed, recorded and then are overhauled and analyzed, each crossing is acquired, the comprehensiveness of data is ensured, and the crossing blind area is placed to cause traffic accidents. And the traffic jam intersection is avoided in time, and the driving time is reduced.
Description
Technical Field
The invention relates to the technical field of traffic early warning, in particular to a road side crowd-sourcing calculation-based intersection blind area early warning control method and system.
Background
Crowd-sourcing computing, an emerging computing model, has become widely prevalent with the popularity of wireless mobile terminals, particularly smart phones. Various sensors integrated in mobile devices play an increasingly important role in the process of collecting data, which also makes human behavior data ubiquitous. Meanwhile, the rapid development of the world wide web provides a technical basis for crowd-sourcing computation, and the practical application based on the technology is rich. For example: by using the mode of crowd-sourcing, net friends digitally archive nearly 130 years of New York Times, which would otherwise consume significant time and human resources, within a few months. Crowd-sourcing has real-time and more optimal group scheduling that is not comparable to other models, so it can dynamically query and retrieve data, potentially analyze it and compute it. From the above analysis, the pattern of crowd sourcing can be a new way to solve the above problems.
The traffic blind area refers to a traffic blind area formed by limiting the sight of drivers or pedestrians to a certain degree and enabling some traffic areas not to be observed mutually due to the influence of vehicles, terrain, buildings, light and other conditions in the driving process. Dangerous emergencies are hidden in the blind areas, and traffic accidents are easy to happen at the intersection points or conflict points. Because more and more buildings are built at present, road intersections, roadways, large doorways and the like in urban areas and villages and small towns are caused, because of the shielding of buildings, drivers of vehicles or pedestrians are in sight blind areas, and the drivers of the vehicles or pedestrians and the pedestrians cannot see each other easily, so that traffic accidents are often caused easily.
Disclosure of Invention
The invention aims to provide a road side crowd-sourcing calculation-based intersection blind area early warning control method and system to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a road side crowd-sourcing calculation-based intersection blind area early warning control method and system are implemented according to the following steps:
step 1: collecting motor vehicle data near the intersection and the blind area according to a roadside crowd intelligent computing system;
step 2: the sensor collects pedestrian and non-motor vehicle data of the intersection and the blind area;
and step 3: collecting images at intersections and blind areas;
and 4, step 4: integrating the information to perform comprehensive processing;
and 5: predicting the driving tracks of the vehicles and the pedestrians;
step 6: giving out early warning to vehicles and pedestrians in the intersection blind area;
and 7: and transmitting the road condition of the intersection to a terminal system in real time.
Preferably, the motor vehicles are internally provided with a crowd sourcing computing system, and the crowd sourcing computing system collects vehicle running data, wherein the collected data comprise vehicle running speed and vehicle acceleration.
Preferably, the sensor is installed on the zebra crossing, and the sensor is a pressure sensor and is used for detecting whether a pedestrian or a non-motor vehicle exists on the zebra crossing.
Preferably, the camera collects the lane occupation condition and the turn signal lamp use condition of the vehicle at the intersection, and the camera simultaneously shoots the running conditions of pedestrians and non-motor vehicles on the zebra crossing and the sidewalk.
Preferably, a camera is arranged on the signal lamp at the intersection, the camera is opposite to the intersection, and each intersection is provided with one camera.
Preferably, the information processing module receives vehicle driving data counted by the crowd sourcing computing system, the information processing module receives data of the pressure sensor on the zebra crossing, and the information processing module receives image information shot by the crossing camera.
Preferably, the information processing module integrates and compares the received information and sends the display condition of pedestrians and vehicles in the blind area of the intersection to the track prediction module.
Preferably, the track prediction module predicts the running track of the vehicle according to the combination of the received motor vehicle lane occupation condition and the real-time signal of the traffic light, predicts the pedestrian tracks on the pedestrian lanes and the zebra crossing, and sends the predicted danger signal to the early warning module.
Preferably, the early warning module sends the early warning signal to optical warning devices at two ends of the zebra crossing, the optical warning devices send out a flashing signal, the early warning module sends the early warning signal of the blind zone pedestrians to a crossing signal lamp, and the signal lamp sends out a high-frequency flashing signal.
Preferably, the information processing module sends the collected road condition information to the roadside crowd intelligent computing system of the vehicle again.
Compared with the prior art, the invention has the beneficial effects that:
(1) the invention collects the motor vehicle information through the crowd-sourcing computing system, simultaneously displays, records, overhauls and analyzes pedestrians and non-motor vehicles, collects each intersection, ensures the comprehensiveness of data, and places dead zones of the intersections to cause traffic accidents.
(2) The invention predicts the display tracks of pedestrians and vehicles through the acquired information, displays the prediction result at two ends of the zebra crossing through the warning lamps, reminds pedestrians when vehicles pass through, and reminds drivers of deceleration by high-frequency flicker of the signal lamps, thereby greatly reducing the possibility of traffic accidents.
(3) The information processing module processes the information and then transmits the road condition to the crowd-sourcing computing system in the vehicle again, so that a driver can receive road condition information of different intersections in real time, the traffic jam intersection is avoided in time, and the driving time is reduced.
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Fig. 1 is a schematic diagram of the principle of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "front", "rear", "both ends", "one end", "the other end", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "disposed," "connected," and the like are to be construed broadly, such as "connected," which may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Referring to fig. 1, the present invention provides a technical solution: a road side crowd-sourcing calculation-based intersection blind area early warning control method and system are implemented according to the following steps:
step 1: collecting motor vehicle data near an intersection and a blind area according to a roadside crowd intelligence computing system, wherein the crowd intelligence computing system is arranged in each motor vehicle and collects vehicle running data, and the collected data comprises vehicle running speed and vehicle acceleration;
step 2: the sensor collects data of pedestrians and non-motor vehicles at an intersection and a blind area, is arranged on a zebra crossing and is a pressure sensor used for detecting whether the pedestrians or the non-motor vehicles exist on the zebra crossing;
and step 3: the method comprises the following steps of collecting images at intersections and blind areas, collecting the lane occupation condition and the use condition of turn lights of the intersections by a camera, simultaneously shooting the driving conditions of pedestrians and non-motor vehicles on zebra crossings and sidewalks by the camera, arranging the camera on a signal light at the intersection, wherein the camera is over against the intersections, and each intersection is provided with one camera;
and 4, step 4: the information integration processing module receives vehicle driving data counted by the crowd-sourcing computing system, the information processing module receives data of a pressure sensor on a zebra crossing, the information processing module receives image information shot by a crossing camera, the information processing module integrates and compares the received information and sends the display conditions of pedestrians and vehicles in blind areas of the crossing to the track prediction module, and the information processing module combines and compares the information of the crowd-sourcing computing system with the information shot by the camera to obtain accurate crossing information;
and 5: the method comprises the steps that the driving tracks of vehicles and pedestrians are predicted, a track prediction module predicts the driving tracks of the vehicles according to the combination of the received motor vehicle lane occupation condition and the real-time signals of traffic lights, the track prediction module predicts the tracks of the pedestrians on a pedestrian road and a zebra crossing, and the track prediction module sends predicted danger signals to an early warning module;
step 6: the method comprises the steps that early warning is sent to vehicles and pedestrians in a blind area of a road junction, an early warning module sends early warning signals to optical warning devices at two ends of a zebra crossing, the optical warning devices send flashing signals, the early warning module sends the early warning signals of the pedestrians in the blind area to a signal lamp of the road junction, and the signal lamp sends high-frequency flashing signals;
and 7: and transmitting the road condition of the intersection to a terminal system in real time, and retransmitting the collected road condition information to a roadside crowd intelligent computing system of the vehicle by the information processing module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. A road side crowd-sourcing calculation-based intersection blind area early warning control method and system are characterized by being implemented according to the following steps:
step 1: collecting motor vehicle data near the intersection and the blind area according to a roadside crowd intelligent computing system;
step 2: the sensor collects pedestrian and non-motor vehicle data of the intersection and the blind area;
and step 3: collecting images at intersections and blind areas;
and 4, step 4: integrating the information to perform comprehensive processing;
and 5: predicting the driving tracks of the vehicles and the pedestrians;
step 6: giving out early warning to vehicles and pedestrians in the intersection blind area;
and 7: and transmitting the road condition of the intersection to a terminal system in real time.
2. The method and system for intersection blind area early warning control based on roadside crowd sourcing according to claim 1, step 1 is characterized in that: the motor vehicle is internally provided with a crowd intelligent computing system which collects vehicle running data, wherein the collected data comprises vehicle running speed and vehicle acceleration.
3. The intersection blind area early warning control method and system based on roadside crowd sourcing according to claim 1, step 2 is characterized in that: the sensor is installed on the zebra crossing, and the sensor is a pressure sensor and is used for detecting whether pedestrians or non-motor vehicles exist on the zebra crossing.
4. The intersection blind area early warning control method and system based on roadside crowd sourcing according to claim 1, step 3 is characterized in that: the camera collects the lane occupation condition and the turn light use condition of the vehicle at the intersection, and simultaneously shoots the running conditions of pedestrians and non-motor vehicles on the zebra crossing and the sidewalk.
5. The intersection blind area early warning control method and system based on roadside crowd sourcing as claimed in claim 4, wherein: the signal lamp at the intersection is provided with a camera which is opposite to the intersection, and each intersection is provided with a camera.
6. The intersection blind area early warning control method and system based on roadside crowd sourcing according to claim 1, step 4 is characterized in that: the information processing module receives vehicle running data counted by the crowd-sourcing computing system, the information processing module receives data of the pressure sensor on the zebra crossing, and the information processing module receives image information shot by the crossing camera.
7. The intersection blind area early warning control method and system based on roadside crowd sourcing as claimed in claim 6, wherein: the information processing module integrates and compares the received information and sends the display conditions of pedestrians and vehicles in the blind area of the intersection to the track prediction module.
8. The intersection blind area early warning control method and system based on roadside crowd sourcing according to claim 1, step 5 is characterized in that: the track prediction module predicts the running track of the vehicle according to the combination of the received motor vehicle lane occupation condition and the real-time signal of the traffic light, predicts the pedestrian tracks on the pedestrian lanes and the zebra crossing, and sends the predicted danger signal to the early warning module.
9. The method and system for intersection blind area early warning control based on roadside crowd sourcing according to claim 1, step 6 is characterized in that: the early warning module sends early warning signals to optical warning devices at two ends of the zebra crossing, the optical warning devices send flashing signals, the early warning module sends the early warning signals of blind area pedestrians to crossing signal lamps, and the signal lamps send high-frequency flashing signals.
10. The intersection blind area early warning control method and system based on roadside crowd sourcing according to claim 1, step 7 is characterized in that: and the information processing module sends the collected road condition information to a roadside crowd intelligent computing system of the vehicle again.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114679573A (en) * | 2022-05-27 | 2022-06-28 | 广州市伟粤通讯设备有限公司 | Public safety video monitoring system based on face recognition |
| CN114822058A (en) * | 2022-05-11 | 2022-07-29 | 深圳智慧车联科技有限公司 | Driving specification driving prompting monitoring method and system based on signal lamp intersection, vehicle-mounted terminal and storage medium |
| CN114973652A (en) * | 2022-04-22 | 2022-08-30 | 岚图汽车科技有限公司 | Visual blind area reminding method and system, electronic equipment and storage medium |
| CN115063973A (en) * | 2022-05-25 | 2022-09-16 | 上海交通大学 | Road intersection vehicle track extraction system based on computer vision |
| CN116206436A (en) * | 2023-04-27 | 2023-06-02 | 山东领军智能交通科技有限公司 | Laser zebra crossing early warning equipment based on visible red light and control method thereof |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114973652A (en) * | 2022-04-22 | 2022-08-30 | 岚图汽车科技有限公司 | Visual blind area reminding method and system, electronic equipment and storage medium |
| CN114822058A (en) * | 2022-05-11 | 2022-07-29 | 深圳智慧车联科技有限公司 | Driving specification driving prompting monitoring method and system based on signal lamp intersection, vehicle-mounted terminal and storage medium |
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